PhD position in Neurobiology - Neurocircuitry analysis

 

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.

The Department of Organismal Biology teaches and explores the evolution, development and function on the organismal level. For more information see www.iob.uu.se.

The PhD position is available in Åsa Mackenzie´s research group where research is focused on neurocircuitry analysis of the subthalamic nucleus and surrounding brain structures of importance to motor, affective and associative functions. Our research is centered around uncovering neurobiological underpinnings of the network in which the subthalamic nucleus acts. Which neurons control movement, which ones regulate emotions? We use mouse transgenics and optogenetics to achieve high precision when unraveling brain pathways and their involvement in behavioral regulation. In addition to in vivo-studies, molecular biology and histology are important techniques. Our group is international and English is the language most commonly used.

Please visit our homepage for more information: https://www.iob.uu.se/forskning/jamforande-fysiologi/mackenzie-lab/

Duties/Project description: The subthalamic nucleus, which is part of the extended basal ganglia, is already a clinically important area but basic neurobiological knowledge is largely missing. Dysregulated activity of the subthalamic nucleus is strongly associated with several neurological and neuropsychiatric disorders, such as Parkinson´s disease and compulsive disorders, and stimulations of this nucleus aim at their treatment. However, it remains to fully uncover how the subthalamic area and its neurocircuitry is engaged in brain function and behavioral regulation. This, in turn, is important both to better understand brain physiology under normal circumstances and how to better prevent and treat brain disorders. This PhD project aims at decoding the subthalamic nucleus and its neurocircuitry both anatomically and functionally using viral-genetic methods including mouse transgenics and optogenetics, transcriptomics (RNA sequencing methods), tract tracing, histology, and behavioral assessment. Particular focus on molecular skills and viral-genetics methods in neuroscience. The project is experimental with focus on unraveling the correlation between neuronal populations and their functional roles.

Requirements: Completed university education of 240 university points (högskolepoäng, hp) out of which 60 hp on advanced level corresponding to master degree in relevant field (neuroscience, pharmacology, cell and molecular biology, experimental psychology, or similar). The ideal candidate is highly motivated to perform laboratory-based studies and possesses a strong interest brain function from the neurobiological perspective. Very good spoken and written English language skills. Specific emphasis is placed on personal qualities such as ability to communicate; planning, organizational and laboratory skills; accountability; accuracy.

Additional qualifications: In filling this position, the university aims at recruiting the person who, in the combined evaluation of competence, skills and documented qualifications, is considered the most suitable to carry out and the develop the project and to contribute to high scientific level and to positive development of the department.

Position: The PhD-student position is a 4-year full time appointment, and the candidate will primarily devote the time to his/her own research studies. Other departmental work, such as teaching or administration can be part of the position (maximum 20 %). Salary placement is in accordance with local guidelines at Uppsala University. The applicant must be eligible for PhD studies at Uppsala University.

Information about research education can be found at the web site of the Faculty of Science and Technology, http://www.teknat.uu.se/Doktorand/.

Application: The application should include:

• a letter of intent describing yourself, your research interests and motivation of why you want to do a PhD
• a short description of your education
• a CV containing all courses at university level
• a copy of your master degree and course grades
• the names and contact information (address, email address, and phone number) of at least two reference persons
• relevant publications (including  your master thesis)

The application should preferably be written in English.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines.

Salary: According to local agreement for PhD students.
 
Starting date: 01-09-2021 or as otherwise agreed.

Type of employment: Temporary position according to the Higher Education Ordinance chapter 5 § 7.

Scope of employment: 100 %

For further information about the position please contact: Åsa Mackenzie, asa.mackenzie@ebc.uu.se.

Please submit your application by 20 May 2021, UFV-PA 2021/1717.

Are you considering moving to Sweden to work at Uppsala University? Find out more about what it´s like to work and live in Sweden. 

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University's recruitment system.

Placement: Department of Organismal Biology

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100 %

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: ST/TCO tco@fackorg.uu.se
Seko Universitetsklubben seko@uadm.uu.se
Saco-rådet saco@uadm.uu.se

Number of reference: UFV-PA 2021/1717

Last application date: 2021-05-20

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PhD in physical chemistry with focus on environmentally friendly quantum dot solar cells

 

Uppsala University is a comprehensive research-intensive university with a strong international standing. Our ultimate goal is to conduct education and research of the highest quality and relevance to make a long-term difference in society. Our most important assets are all the individuals whose curiosity and dedication make Uppsala University one of Sweden’s most exciting workplaces. Uppsala University has over 45,000 students, more than 7,000 employees and a turnover of around SEK 7 billion.

The Department of Chemistry - Ångström conducts research and education in the chemistry field. The department has more than 250 employees and has a turnover of 250 million SEK. At the department's six programs, we conduct very successful research of a high international standard. We have a large number of externally funded research projects, often with international cooperation and we see continued good growth in our subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website. 

Subject description/research project: The recently developed quantum dot solar cell promises very high efficiencies at very low cost, and interesting new phenomena related to quantum size effects.

In this PhD project quantum dot solar cells will be synthesized and investigated in detail. Quantum dot solar cells are composed of a thin layer consisting of nanometer sized semiconductor particles (quantum dots) sandwiched between two suitable contacts. New environmentally friendly quantum dots will be developed in this project, and the quantum dots will be investigated using a wide range of methods. Complete solar cells will be prepared and characterized using electrical and optical methods and also advanced X-ray methods.

The research will be performed in collaboration with several researchers and research groups in Sweden and internationally. Specifically, the collaboration involves material chemists for the design of the new materials for the solar cell, physicists for advanced spectroscopic measurements and theoretical chemists for comparison to calculations on the quantum dots, which will be very important.

Work duties: The main duties of doctoral students are to devote themselves to their research studies which includes participating in research projects and third cycle courses. The work duties can also include teaching and other departmental duties (no more than 20%).

Admission requirements: A person meets the general admission requirements for third-cycle courses and study programmes if he or she:

• has been awarded a second-cycle qualification, or
• has satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second cycle, or
• has acquired substantially equivalent knowledge in some other way in Sweden or abroad.

Requirements: The applicant is expected to have a Master degree in Chemistry, Materials Science, Physics, or equivalent, with a physical chemistry component. We also require very good skills in English.

Consideration will also be given to good collaborative skills, drive and independence, and how the applicant, through his or her experience and skills, is deemed to have the abilities necessary for successfully completing the third cycle programme. 

Terms of employment: The rules about PhD students are found in the Higher Education Ordinance Chapter 5 §§1-7 and the university's rules and guidelines.

Application procedure: The application should include a statement of research interest, CV, certificates of exams, degrees and grades, a copy of Master thesis, published article or relevant materials, if available. Also, contact information of at least two reference persons should be included.

Salary: According to local agreement (Local collective agreement for doctoral students and students).

Starting date: 01-09-2021 or as otherwise agreed.

Type of employment: Temporary position for four years according to the Higher Education Ordinance chapter 5 § 7.

Scope of employment: 100 %

For further information about the position please contact: Erik Johansson, erik.johansson@kemi.uu.se

Please submit your application by 10 June 2021, UFV-PA 2021/1800.

Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.

Please do not send offers of recruitment or advertising services.

Submit your application through Uppsala University's recruitment system.

Placement: Department of Chemistry - Ångström Laboratory

Type of employment: Full time , Temporary position longer than 6 months

Pay: Fixed salary

Number of positions: 1

Working hours: 100 %

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Seko Universitetsklubben seko@uadm.uu.se
ST/TCO tco@fackorg.uu.se
Saco-rådet saco@uadm.uu.se

Number of reference: UFV-PA 2021/1800

Last application date: 2021-06-10

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Professor / Associate Professor in Data Science (Data Management)

 

The Faculty of Science and Technology (REALTEK) at the Norwegian University of Life Sciences (NMBU) aims to recruit a professor or associate professor in data science focusing on data management. The position is a full-time permanent position.  

Building on a long history of applied statistics at NMBU, REALTEK has a strategic focus on data science with a focus on broad technological applications for a sustainable world. 

Our research areas span from multivariate analysis and metamodelling via machine learning to simulation technology, with applications ranging from geomatics, robotics and electrical power systems via public health to biospectroscopy, bioinformatics, diagnostics, neuroscience, optimization, operations management, and predictive maintenance. NMBU is a founding member of NORA, the Norwegian Artificial Intelligence Research Consortium. 

Data science at REALTEK focuses on applications and is inspired by the UN Sustainable Development Goals. We combine a wide range of engineering fields in a single building, facilitating frequent interdisciplinary interactions and joint strategic efforts between data scientists and fields of application. NMBU's compact and beautiful campus offers many further opportunities to apply data science, especially in biosciences and economics. At REALTEK and NMBU you will never have to walk far to meet colleagues eager to engage in data science research. 

REALTEK currently offers two study programs in data science, a five-year integrated master (sivilingeniør) and a two-year master program (the latter taught in English), a very popular program in industrial economics and a five-year robotics master program.

As part of a larger recruitment effort, we are looking for a colleague who will complement our expertise with research and teaching in data management. We are looking for a colleague with research experience in data acquisition, quality or provisioning as a crucial step in the data science process in a world moving from models based on individual data silos to models integrating a wide range of data sources while facing strict requirements concerning privacy and accountability. Relevant research topics that would integrate well with research at REALTEK include data acquisition in industry and infrastructures, distributed and federated learning and FAIR data interoperability.

REALTEK offers new academic staff a unique onboarding package:

If you are not already main supervisor for a PhD-student, you will be prioritized when distributing university funded PhD positions

You will get NOK 50.000 as start-up-funding for conference fee, travels, etc. 

The faculty aims to boost research, and provides financial support for networking activities, short stays abroad and a mentor scheme for new staff.

Main tasks

 As a professor / associate professor in data science, you will 

Perform research in data management at an internationally respected level

Teach data management and related topics of relevance to data science students at the undergraduate and graduate levels 

Supervise master and PhD students

Establish your own research projects and attract funding from national and international sources 

Establish interdisciplinary collaborations on and beyond campus

Participate in academic administration and the continuous development of our study programs and research activities

Competence

Required Academic qualifications

Doctoral and master degree in data science, informatics, or computer science. Foreign doctoral degrees must be recognised as equivalent to a Norwegian doctoral degree.

Documented educational competence at the professor or associate professor level according to NMBU's guidelines (see below). Applicants for an associate professor position, and in exceptional cases for a professor position, who lack the required educational qualifications need to obtain these within a two-year period after appointment to the position.

Scientific achievements in data management documented through peer-reviewed publications in international journals or conference proceedings

For a professor position additionally

professor competence at the scientific level in accordance with international or national standards

scientific leadership experience

Please see NMBU's guidelines for appointment and promotion to teaching and research positions for general requirements for appointment as professor (Ch. 6.1) or associate professor (Ch. 6.3).

The following experiences and skills will be emphasized:

Experience in international and interdisciplinary research projects in data management

Teaching experience in data management

University pedagogics training

Experience with applied data management projects

Experience in supervising master or doctoral students 

Experience in external project funding acquisition 

Experience in academic administration

Required personal skills 

Ability to engage students and colleagues 

Drive to participate in and build interdisciplinary research projects applying data science to real-world problems 

Excellent spoken and written English 

Desired personal skills 

Ability to communicate your research to colleagues and the public 

Fluency in Norwegian, Danish or Swedish; you will be required to teach Norwegian-language undergraduate courses preferably after one year, at the latest after two years.

Personal suitability

Applicants are strongly encouraged to consult the detailed description of our faculty, the Data Science department and our study programs, as well as our expectations and evaluation criteria for the position, provided as Additional Information for Applicants in Data Management. 

Remuneration and further information

Depending on qualification, the position is placed in government pay scale position code

1011 Associate Professor wage framework 24, salary grade 65–77 (NOK 586 500–744 600)

1013 Professor salary grade 72–84 (NOK 670 100–910 000)

For exceptionally well qualified candidates for a professor position, a higher salary may be negotiable.

NMBU wants more women in permanent academic positions, and women are therefore encouraged to apply.

For further information, please contact the head of the Data Science Department, Prof. Hans Ekkehard Plesser.

E-mail: hans.ekkehard.plesser@nmbu.no ; phone +47 6723 1560. 

Pursuant to the Personal Data Act, we hereby notify you that the report of the expert committee will be sent to all applicants.

general Information to applicants

Application

To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 31.05.2021

You must specify if you want to be considered for a position as professor or associate professor. You must document your educational competence in form of a teaching portfolio according to NMBU’s guidelines on educational competence for professors or for associate professors, respectively. Please use the template provided in these guidelines.

As part of your application, please provide a research plan, links to projects to which you have made significant contributions and up to ten relevant peer-reviewed publications. If it is difficult to identify your contribution to multi-author publications, please provide a short explanation of your part of the work.

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within (31.05.2021). Please quote reference number 21/02223.

Applicants invited for an interview will be asked to present verified copies of diplomas and certificates.

Apply

Postdoctoral fellow within Empirical Public Economics

 

At the NMBU School of Economics and Business we have a vacancy for a postdoc position within Public/Empirical Economics. The position is for two years with 100% research, or three years with 2/3 research and 1/3 teaching. The intended start-up is autumn 2021.

Tax avoidance, tax evasion, and abuse of public transfers erodes the tax base and challenges the sustainability of universal welfare state policies and the ability to redistribute through the tax system, which then also has implications for inequality. This is particularly relevant following the covid-19 crisis, with a global economic downturn, mass unemployment and increased budget deficits following large public crisis packages to counteract the crisis.

The available position as a postdoctoral fellow is part of the new project “Employment, investment, and inequality in the aftermath of the Covid-19 crisis” at Skatteforsk – Centre for Tax Research, which is financed by the Research Council of Norway.

The project analyses various aspects of the Covid-19 induced economic crisis, in particular its long-term effects on individuals and firms, and relates this to the ownership structure in firms, business cycles, employment, and to who benefits and who loses.

As a project member, you will get access to a unique administrative data with a detailed information on Norwegian firms, individuals, as well as ownership information that links firms and individuals. The work will be on timely and policy relevant questions, within a dynamic and international research group.

This project is administered by NMBU and is a cooperation between national and international institutions, involving tax and labour researchers at the top of their field. The main project partner is the Ragnar Frisch Centre for Economic Research. The main workplace for the postdoc will be at NMBU, but there is possibility for the postdoc to sit part time at The Frisch Centre in Oslo or go on research visits abroad.

Main tasks

The position is fulltime for two years with 100% research, or three years with 2/3 research and 1/3 teaching and other related administrative work at Skatteforsk.

 The tentative teaching load corresponds a 10 study point a year. We plan for the new fellow to contribute to teaching at MA-level courses related to taxes and inequality (such as BUS360, BUS362, where you will be part of an experienced teaching team at Skatteforsk) and/or macro economics. It will also be relevant to be supervisor for some MA-theses in related topics.

 The main purpose of the post-doctoral position is to qualify for work in high-level scientific positions.

Competence

Required Academic qualifications

A completed PhD in Economics

Candidates in the process of finalizing their PhD are also encouraged to apply; the requirement being that the PhD is completed prior to starting the position (autumn 2021).

Proficiency in English, spoken and written.

The following experiences and skills will be emphasized:

Experience from empirical labour and/or taxation studies, preferably with administrative register data.

Experience with Stata, R, or other relevant software

Interest in topics related to taxes and inequality

Ability to work independently as well as in team

Teaching and advisor experience

Remuneration and further information

The selected candidate will be appointed as a postdoctoral fellow, wage framework 24 (salary grade 59-72) (NOK 523.200-667.200), depending on qualifications.

 general Information to applicants

For further information, please contact

Professor Annette Alstadsæter, tel. +47 9169 7877, annette.alstadsater@nmbu.no

Head of Research, Professor Frode Alfnes, tel. +47 6723 1112, frode.alfnes@nmbu.no

Dean, Gro Ladegård, tel. +47 6723 1188, gro.ladegard@nmbu.no

Application

To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 20.05.2021

Up to ten publications / work in progress selected by the applicant as most relevant must be attached to the application. If it is difficult to identify the contribution of the applicant in multiple-author publications, a short explanation about the applicant’s part of the work should be included.

In addition, the applicant should submit a letter of motivation, stating your interest in the area and why you want to contribute to the project.  

Printed material which cannot be sent electronically should be sent by surface mail to Norwegian University of Life Sciences, School of Economics and Business, P.O. Box 5003, NO-1432 Ås, by the application deadline. Please quote reference number 21/01442.

Applicants invited for an interview will be asked to present verified copies of diplomas and certificates.

Apply

PhD position within applied mathematics

 

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD–position related to the project Problem-dependent regularization techniques. The PhD position is for a period of 3 years, or up to 4 years if teaching and other work duties are agreed.

In the project we seek a clearer understanding of inverse problems when the forward operator has a non-trivial nullspace, and in particular we will explore and analyze the potential of applying problem-dependent regularization in important applications of inverse problems involving EEG and ECG.

We will furthermore investigate the properties of the technique as a feature selection method in machine learning.

Your role in the project is to participate in further development of the theory of problem-dependent regularization techniques and to apply the methods in machine learning and in medical imaging problems involving real-world data.

Main tasks

Contribute to the development of problem-dependent regularization techniques

Write software to solve real-world problems involving such regularization techniques

Assist in building a public repository so other scientists can apply the methods

Write academic papers

Present the work at international conferences

Host exercise sessions in upper undergraduate courses

The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.

Competence

The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year Norwegian degree programme, where 120 credits are at master's degree level. Candidates submitting MSc thesis by 30. June 2021 may be considered. The applicant must have a documented strong academic background from previous studies,  and document proficiency in both written and oral English. For more detailed information on the admission criteria please see the NMBU PhD Regulations sections 5, and the supplementary provisions for Science and technology. Proof of English proficiency should be in accordance with NMBU PhD regulation section 5-2 (3).

The applicant must document expertise and interest in the research subject.

Required Academic qualifications

A master’s degree in mathematics

Strong skills in scientific computing

Completed courses in functional analysis and linear algebra at the master level

The following experiences and skills will be emphasized:

Strong knowledge of (elliptic) PDEs and/or

Experience with inverse problems

You need to have:

Strong motivation

Good collaboration skills

Remuneration and further information

The PhD position is placed in government pay scale position code 1017 PhD. Fellow.

PhD f. Fellows are normally placed in pay grade 54 (NOK 482.200,-) (approx. 48.000 EUR/year) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact Assoc. Prof. Ole Løseth Elvetun

E-mail: ole.elvetun@nmbu.no; phone +47 91771043

Information for PhD applicants and general Information to applicants

Application

To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 25.05.2021

Applications should include:

A cover letter,

Curriculum vitae

Your master thesis

Copies of degree certificates and transcripts of academic records (all certified)

A list of two persons who may act as references (with phone numbers and e-mail addresses).

Proof of English proficiency should should also be included

Printed material which cannot be sent electronically should be sent by surface mail to the Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 25.05.2021. Please quote reference number reference no. 21/01798.

Apply

PhD position within morphology of medieval building structures

 

The Faculty of Science and Technology at the Norwegian University of Life Sciences (NMBU) has a vacant PhD position related to the study of medieval buildings/urban structures.

The PhD position is for a period of 3 years, or up to 4 years if teaching and other work duties are agreed.

The position is a part of a study on the urban morphology of planted towns in the 13th century. The position is intended to support the analysis of historic urban tissues and its buildings by studying one of the following aspects:

A: Study of a specific medieval building type (f.ex. town houses or charitable institutions) by mapping the genesis from middle age to present based on existing archaeological findings, morphological analysis and other available sources.

B: Study the transformation of medieval urban structures with the methods of urban morphology. (GIS, geometrical and statistical analysis and/or on site mapping by geomagnetic survey and LIDAR-readings).

The research is part of a morphological study of planted cities in 13th century Mecklenburg.

Main tasks

The PhD candidate will investigate one of these questions, in cooperation and support with the academic staff at NMBU. This PhD is a cooperation between the department of the research group Architecture, Building Physics and Construction - and the research group of Geomatics.

The successful candidate is expected to enter a plan for the progress of the work towards a PhD degree during the first months of the appointment, with a view to completing a doctorate within the PhD scholarship period.

Competence

The successful applicant must meet the conditions defined for admission to a PhD programme at NMBU. The applicant must have an academically relevant education corresponding to a five-year Norwegian degree programme, where 120 credits are at master's degree level. Candidates submitting MSs thesis by 30. June 2021 may be considered. The applicant must have a documented strong academic background from previous studies and document proficiency in both written and oral English. For more detailed information on the admission criteria please see the NMBU PhD Regulations sections 5, and the supplementary provisions for Science and technology.

The applicant must document expertise and interest in the research subject.

Required Academic qualifications:

Master in Architecture or Urban planning or Archaeology

Experiences and skills that will be emphasized:

English language skills

Relevant working experience in urban archaeology

Experience in academic writing

Working in archives

You should have interest or experience in:

Urban morphology

Urban archaeology

Architectural and urban history

Preservation of cultural Heritage

Analytical methods such as dendrochronology, geomagnetic survey, LIDAR

You need to:

Have motivation to work independently

Have the ability and interest in working interdisciplinary and cooperate

Have interest in scientific writing

Remuneration and further information

The PhD position is placed in government pay scale position code 1017.

PhD fellows are normally placed in pay grade 54 (NOK 482.200,-) on the Norwegian Government salary scale upon employment and follow ordinary meriting regulations.

Terms of employment are governed by Norwegian guidelines for PhD fellowships at Universities and University Colleges.

For further information, please contact associate professor, Martin Ebert

E-mail: maeb@nmbu.no; phone +47 99 54 31 85

Information for PhD applicants and general Information to applicants

Application

To apply online for this vacancy, please click on the 'Apply for this job' button above. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Application deadline: 26.05.2021

Applications should include (electronically):

A letter of intent

Curriculum vitae

Full publication list

Copies of degree certificates and transcripts of academic records (all certified)

A list of two persons who may act as references (with phone numbers and e-mail addresses)

Proof of English proficiency must be attached in accordance with NMBU PhD regulation section 5-2 (3). 

Publications should be included electronically within the application deadline. Printed material which cannot be sent electronically should be sent by surface mail to the Norwegian University of Life Sciences, Faculty of Science and Technology, P.O. Box 5003, NO-1432 Ås, within 26.05.2021. Please quote reference number 21/02302.

If it is difficult to judge the applicant’s contribution for publications with multiple authors, a short description of the applicant’s contribution must be included.

Apply

Doctoral student in Information theory stochastic decision problems

 

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Project description

Third-cycle subject: Electrical Engineering

In many larger cyber-physical systems the engineer faces a distributed decision making problem. Since not all information is available everywhere, the decisions are taken based on the locally available information to achieve common goal. It is said that such decision problems have nonclassical information structure and are considered to be notoriously difficult because a general optimal design approach is missing. Quite recently the concept of coordination coding appeared in information theory. It basically describes what statistical relations can be achieved with the support of communications. Initial results show that this concept can be used to derive fundamental bounds for distributed decision-making systems. In this project we will expand those results with the goal to enhance the basic understanding as well as setting the basis for a framework for optimal designs.This new approach will lead to new fundamental insights and it might lead to solutions of long-standing fundamental problems.

Supervision: The doctoral student will be supervised by: Professor Tobias Oechtering and Dr. Maël Le Treust, CNRS researcher at ETIS UMR 8051

What we offer

• A workplace with many employee benefits and monthly salary according to KTH’s Doctoral student salary agreement.
• Help to relocate and be settled in Sweden and at KTH.
• The PhD program in Electrical Engineering provides world class quality education, including a large list of graduate courses ensuring an in-depth development of relevant competences and skills. You have many opportunities to participate at conferences, projects and other relevant events.

Eligibility

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

• passed a degree at advanced level,
• completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
• in any other way acquired within or outside the country acquired essentially equivalent knowledge.
• Requirements for English equivalent to English B/6, read more here.

Selection

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

• independently pursue his or her work
• collaborate with others,
• have a professional approach and
• analyse and work with complex issues.

The successful applicant is expected to hold or to be about to receive an MSc degree in Electrical Engineering, Engineering Physics, Mathematics or similar with a strong mathematical background. A specialization in information theory is an asset. 

The successful applicant should have an outstanding academic track record, and well developed analytical and problem solving skills. We are looking for a strongly motivated person, who is able to work independently. Good command of English orally and in writing is required to publish and present results at international conferences and in international journals.

After the qualification requirements, great emphasis will be placed on personal competency.

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. 

Union representatives

You will find contact information for union representatives on KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

You will find contact information for doctoral section on the section's website.

Application

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).

Elements:

• CV including your relevant professional experience and knowledge.
• Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
• Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.
• Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.
• Your individual essay about the Witsenhausen counterexample which you can find at https://people.kth.se/~oech/Witsenhausen.pdf

Other information

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and  a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

Type of employment	Temporary position longer than 6 months
Contract type	Full time
First day of employment	According to agreement
Salary	Monthly salary according to KTH's doctoral student salary agreement
Number of positions	1
Working hours	100%
City	Stockholm
County	Stockholms län
Country	Sweden
Reference number	J-2021-0877
Contact	Tobias Oechtering, Professor, oech@kth.se Anna Mård, HR-Officer, rekrytering@eecs.kth.se Dr. Maël Le Treust, mael.le-treust@ensea.fr
Published	08.Apr.2021
Last application date	20.May.2021 11:59 PM CET

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Postdoc in bio-based polymer materials

 

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

Job description

With a focus on sustainability, this project aims to find out how agriculture-sourced materials should be processed and modified to enable replacement of today´s bulk thermoplastics. The scientific objectives of this project are:

i) In-depth understanding of how to create a lignocellulosic feedstock based on the unique spatial and compositional structure of the biomass,

ii) In-depth understanding of the chemical and morphological structures over length scales ranging over several orders of magnitude in the biomass after treatment, and

iii) Structural and chemical relationships for how modification processes affect the functionality of the materials.

The project is part of the research center Fib:Re, funded by Vinnova. You will have great opportunities to work within a large network within academia and industry in Sweden.

You can read more about what is included in a postdoctoral position in the Employment Regulations and on the Swedish Agency for Government Employers - postdoctoral agreement

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Collaboration with Sweden’s agricultural cooperative, industry, and other universities.
• Access to top-equipped research and laboratory facilities.
• The opportunity to establish a transdisciplinary network.
• Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

• You have a doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
• You have good scientific skills.
• Your ability to co-operate is good and you can also work independently.
• You possess a good problem-solving ability.
• You are aware of diversity and equal treatment issues.
• You have excellent knowledge of English, both written and oral, that is English equivalent to English B/6, read more here

Preferred qualifications

• A doctoral degree in chemistry, materials science and/or polymer technology from higher education or equivalent studies
• Previous experience in polysaccharides or biorefining is strongly qualifying.
• You have a good pedagogical ability.

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, one and a half years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.

Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.

PhD Position in Physics-Informed Machine Learning

 

Are you a highly motivated individual who would like to pursue a PhD degree and develop innovative research work at the interface of computational mathematics, machine learning and simulation science?

We are calling for applications for a PhD position in the Applied Analysis (AA) group at University of Twente (UT)’s Department of Applied Mathematics to work in the area of physics-informed machine learning.

About the project
Research activities of this PhD position focus on the synergistic integration of modern numerical methods for PDEs and recent machine learning techniques, especially based on artificial neural networks and Gaussian processes. The successful candidate will develop physics-informed machine learning methods towards real-world engineering and/or medical applications. Such research initiatives address the drawbacks of conventional numerical methods and seek to enable data-enhanced predictive modeling through model order reduction, multi-fidelity data fusion, and machine learning.

The successful candidate may also be involved in teaching activities in the bachelor’s and/or master’s programs of Applied Mathematics.

YOUR PROFILE

We look for an enthusiastic individual who is driven by curiosity and has:

• -or will shortly acquire, a master’s degree in applied Mathematics, computational science or engineering;
• Knowledge in machine learning and/or uncertainty quantification;
• Experience with numerical methods for solving PDEs;
• Demonstrated programming skills;
• Good communication skills in a collaborative working environment; 
• Proficiency in English;
• In addition, knowledge in applied mechanics would be an advantage.

OUR OFFER

We offer an exciting temporary research position in a dynamic and international environment. The University of Twente offers excellent working conditions, an exciting scientific environment, and a green and lively campus with lots of sports facilities and an international scientific community.

• You will be appointed on a full-time PhD position for four years, with a qualifier in the first year.
• You will have a full status as an employee at UT, including pension, health care benefits, 29-41 leave days and good secondary conditions are part of our collective labor agreement CAO-NU for Dutch universities.
• The salary will range from EUR 2.395,- (1st year) to EUR 3.061,- (4th year) per month, plus holiday allowance (8%) and end-of-year bonus (8.3%).
• We also offer facilities for professional and personal development.
• A PhD student at the UT will be a member of the Twente Graduate School. We provide our PhD students with excellent opportunities to broaden their scientific knowledge in preparation for their future career within or outside academia. Participation in national and/or international summer schools and workshops and visits to other prestigious research institutes and universities can be part of the doctoral studies.

INFORMATION AND APPLICATION

Interested to be part of our team? Please send your application via the 'Apply now' button below and include:

• an application/motivation letter, emphasizing your specific interest, qualifications and motivation to apply for this position;
• an updated CV including a list of relevant courses during your master’s studies, research activities in which you have participated, and a short description of your master’s thesis; and
• contact information (addresses and emails) of two referees.

This open position is expected to be filled as soon as possible. For more information you are welcome to contact Dr. Mengwu Guo (m.guo@utwente.nl). We accept applications until May 21, 2021. Evaluation will begin in early May and continue until the position is filled.


Further information

• SACS research team at UT: https://www.utwente.nl/en/eemcs/sacs/
• Dr. Mengwu Guo: https://mengwuguo.weebly.com/
• Prof. Dr. Christoph Brune (leader of the AA group): https://people.utwente.nl/c.brune
• Digital Society Institute: https://www.utwente.nl/en/digital-society/
• Technical Medical Centre: https://www.utwente.nl/en/techmed/

ABOUT THE ORGANIZATION

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

As an employer, the EEMCS Faculty offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With our Faculty, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customizable conditions.

University of Twente (UT)

University of Twente (UT) has entered the new decade with an ambitious, new vision, mission and strategy. As ‘the ultimate people-first university of technology' we are rapidly expanding on our High Tech Human Touch philosophy and the unique role it affords us in society. Everything we do is aimed at maximum impact on people, society and connections through the sustainable utilisation of science and technology. We want to contribute to the development of a fair, digital and sustainable society through our open, inclusive and entrepreneurial attitude. This attitude permeates everything we do and is present in every one of UT's departments and faculties. Building on our rich legacy in merging technical and social sciences, we focus on five distinguishing research domains: Improving healthcare by personalised technologies; Creating intelligent manufacturing systems; Shaping our world with smart materials; Engineering our digital society; and Engineering for a resilient world.

As an employer, University of Twente offers jobs that matter. We equip you as a staff member to shape new opportunities both for yourself and for our society. With us, you will be part of a leading tech university that is changing our world for the better. We offer an open, inclusive and entrepreneurial climate, in which we encourage you to make healthy choices, for example, with our flexible, customisable conditions.

PHD POSITION IN PHYSICS-INFORMED MACHINE LEARNING

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